Jobs in Canada

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Added 21 hours ago
EV
January 2027 Industrial Networking (Digital Systems) Co-op
Elk Valley Resources
Sparwood, BC
- $4,117 to $6,167 CAD / month
Understanding of WhatsUp Gold, ServiceNow, PLC's, IO servers, c, c++, Power shell, SQL, Python, Cisco switches Fortinet firewall, Cisco wireless access points, RTUs, PLCs, IoT/edge devices,…
Added 22 hours ago
D
Lead ML Engineer – Classical ML & GenAI/RAG
Delaplex
Canada
- Full-time
Develop reusable and production-quality Python and SQL code.
Added 22 hours ago
RI
Software Engineer – Platform Security & Modernization
Raas Infotek
Montreal, QC
- Contract
…team responsible for the development, modernization, security, and operational reliability of mission-critical information distribution and file transfer…
Added 22 hours ago
AC
Analyste d'affaires
ALTEN Canada
Montreal, QC
- Full-time
Capacité à lire et idéalement à effectuer des mises à jour mineures sur des scripts Python.
Added 23 hours ago
UT
Senior Automation Engineer # 26-28679
US Tech Solutions
Toronto, ON
- $55 to $60 CAD / hour
- Contract
Mandatory onsite presence 3 days per week
Added 23 hours ago
RM
Senior Analyst, Financial Planning & Analysis
RFA Mortgage Corporation
Toronto, ON
- Full-time
Experience with programming languages (ex. Python, R, SQL, VBA, etc.) is an asset.
Added 23 hours ago
R
OTC Derivatives Controls Analyst
RBC
Bedford, QC
- Full-time
Experience with programming languages and data query (e.g. VBA, Python, SQL)
Added 23 hours ago
TG
Senior DevOps/Site Reliability Engineer
TMX Group
Toronto, ON
- $125,000 to $135,000 CAD / year
- Full-time
Must Have(s):
Added 23 hours ago
Senior Analyst, Financial Planning & Analysis - RFA Mortgage Corporation
RFA
Toronto, ON
Experience with programming languages (ex. Python, R, SQL, VBA, etc.) is an asset.
Added 23 hours ago
KR
Senior Full Stack & Mobile Application Developer
KTek Resourcing
Toronto, ON · Greater Toronto Area, Canada
- Contract
We are looking for an experienced Full Stack Developer with 6–10 years of experience in developing web and mobile applications across Front-End, Back-End, iOS, and Android platforms. The…
Added 23 hours ago
A
Data Office Developer : Toronto, ON (Hybrid) : FTE
AceStack
Toronto, ON
- Full-time
Must have Skills
Added 23 hours ago
M
Risk Data Scientist
Manulife
Toronto, ON · Waterloo, ON · Montreal, QC · Halifax, NS
- Full-time
Minimum of 5 years of applicable experience with advanced knowledge of programming languages and concepts (Python and SQL, SQL queries)  Knowledge in data visualization tools such as…
Added 23 hours ago
M
Senior Quantitative Analyst
Manulife
Toronto, ON · Waterloo, ON · Montreal, QC · Halifax, NS
- Full-time
Experience in Python, EXCEL, VBA and SQL, and a passion for leveraging technology to solve complex problems.
Added 23 hours ago
Senior Security Engineer
Scotiabank
Toronto, ON
Hands-on experience with System Administration and DevOps support of Linux, Windows, SQL, and vendor software.
Added 1 day ago
Lead Consultant - Data Architecture & Engineering
GHD Group Pty Ltd
Toronto, ON
Strong proficiency in Python, SQL, and modern data platforms and engineering patterns
Added 1 day ago
TG
Senior DevOps/Site Reliability Engineer
TMX Group
Toronto, ON
- $125,000 to $135,000 CAD / year
- Full-time
Must Have(s):
Added 1 day ago
OW
Oliver Wyman - Sr. Analyst, Associate Team Lead; Team Lead; Director-Data and Analytics (DNA) - Toronto
Oliver Wyman Group
Toronto, ON
- Other
Experience in using advanced analytics and data manipulation software - R, Python, SAS, SQL, or SPSS.
Added 1 day ago
A
Java Software Engineer
Akkodis
Waterloo, ON
- Contract
The successful consultant will bring strong expertise in Java, Spring Boot, and SQL Server, along with experience in software engineering best practices, application performance…
Added 1 day ago
S
Data Architect - Calgary
Slalom
Calgary, AB
- Full-time
Development and engineering practices using technologies such as Python, Java, SQL, APIs, CI/CD, Infrastructure as Code, and containers.
Added 1 day ago
RM
Associate
Revenue Management Labs
Toronto, ON
- Full-time
Advanced Excel and PowerPoint skills; familiarity with SQL, Python, or other analytics tools is a plus
Added 1 day ago
RM
Consultant
Revenue Management Labs
Toronto, ON
- Full-time
Proficiency in Excel and PowerPoint; experience with Tableau, Power BI, SQL, or Python is a plus
Added 1 day ago
VB
Analyste Fonctionnel Data
Vaco by Highspring
Montreal, QC
- Full-time
Hands-on ability to query, validate, and analyze data using SQL.
Added 1 day ago
B
Data Engineer
Blutic
Montreal, QC
- Full-time
Strong SQL and PL/SQL or T-SQL, including stored procedures.
Added 1 day ago
A
Senior Java Developer
Akkodis
Waterloo, ON
- Contract
Work Model: Hybrid (4 days per week onsite)
Added 1 day ago
IS
SQL Developer
IMR Soft LLC
Montreal, QC
- Contract
We are looking for an experienced PL/SQL Developer with strong Oracle PL/SQL and Unix/Linux skills. Experience with DB2 is preferred, but candidates willing to learn DB2 will also be…

Delaplex

Lead ML Engineer – Classical ML & GenAI/RAG

Canada

Full-time

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Job details

Job type: Full-time
Experience: 5+ years of hands-on experience in Machine Learning/Data Science/ML Engineering or closely related roles.
Posting language: English
Posted: Nov 12, 2026

Original job description

About Company

At Delaplex, we believe true organizational distinction comes from exceptional products and services. Founded in 2008 by a team of like-minded business enthusiasts, we have grown into a trusted name in technology consulting and supply chain solutions. Our reputation is built on trust, innovation, and the dedication of our people who go the extra mile for our clients. Guided by our core values, we don’t just deliver solutions, we create meaningful impact.

Job Title: Lead ML Engineer – Classical ML & GenAI/RAG

About The Role

We are looking for a hands-on Lead ML Engineer to take ownership of developing, deploying, and supporting predictive AI/ML solutions in production.

The ideal candidate will have a strong foundation in classical Machine Learning/Data Science, with substantial hands-on experience building ML solutions before the recent GenAI wave, and should have subsequently expanded their expertise into Generative AI, LLM, and RAG-based applications.

This role requires someone who can work independently through ambiguous business and technical requirements, contribute directly to the codebase, build reliable ML pipelines, and take ownership of models through production deployment and ongoing improvement.

The primary focus is classical ML implementation and production delivery. GenAI/RAG experience is an important complementary skill, but this is not an architecture-only, advisory, or prompt-engineering role.

Key Responsibilities

Design, develop, and productionize machine learning solutions for real-world business problems.
Build supervised and unsupervised ML models across areas such as:
- Classification
- Regression
- Forecasting/time-series
- Clustering
- Anomaly detection
Perform end-to-end data preparation, feature engineering, model development, validation, tuning, and evaluation.
Establish appropriate baselines and evaluate models against measurable business outcomes.
Develop reusable and production-quality Python and SQL code.
Build and maintain automated training and inference pipelines.
Implement appropriate unit/integration testing, version control, code reviews, and engineering best practices.
Identify and prevent data leakage and other common modeling issues.
Deploy and support ML models in production environments.
Take ownership of model reproducibility, versioning, monitoring, troubleshooting, and retraining.
Work with both cloud and on-premise environments where required.
Analyze existing ML codebases, establish reliable baselines, identify improvement opportunities, and implement measurable enhancements.
Translate ambiguous requirements into practical ML solutions and working production code.
Collaborate with data scientists, engineers, product/business stakeholders, and other technical teams.
Provide hands-on technical leadership and guidance to other ML engineers/data scientists.
Develop and support GenAI/LLM/RAG applications, building on a strong classical ML foundation.
Implement evaluation and debugging approaches for RAG and LLM-based solutions.
Continuously improve model performance, reliability, scalability, and maintainability.

Must Have

Required Skills & Experience

5+ years of hands-on experience in Machine Learning/Data Science/ML Engineering or closely related roles.
Strong practical experience with classical machine learning.
Proven experience developing supervised and/or unsupervised ML solutions in production.
Strong Python programming skills.
Strong SQL skills.
Experience developing production-quality, reusable code.
Experience with ML training and inference pipelines.
Strong understanding of:
- Data preparation
- Feature engineering
- Model validation
- Data leakage prevention
- Hyperparameter tuning
- Model evaluation
- Baseline comparison
Hands-on experience deploying and supporting ML models in production.
Experience with model monitoring, troubleshooting, versioning, reproducibility, and retraining.
Experience with Git/version control and code reviews.
Ability to work hands-on within an existing codebase and deliver working solutions.
Recent hands-on experience with GenAI/LLM/RAG applications.
Experience evaluating and debugging RAG/LLM solutions.
Strong problem-solving and technical leadership capabilities.

Good to Have

Experience deploying ML solutions across cloud and on-premise environments.
Experience with ML/MLOps platforms and tooling.
Experience with Docker/Kubernetes or similar deployment technologies.
Experience with cloud platforms such as AWS, Azure, or GCP.
Experience with model serving and API-based ML deployment.
Experience with LLM evaluation frameworks and RAG architectures.
Experience working with embeddings, vector databases, retrieval pipelines, and prompt/model evaluation.

Skills: machine learning,data science,gen ai,python,rag,model validation & evaluation,llm

Apply on LinkedIn About employer

More about this job

Responsibilities

Develop, deploy, and support production machine learning solutions, including classical supervised and unsupervised models, automated pipelines, and ongoing model monitoring and improvement. Provide hands-on technical leadership and contribute to GenAI, LLM, and RAG applications, including their evaluation and debugging.

Requirements

Requires 5+ years of hands-on machine learning or data science experience, strong Python and SQL skills, and proven experience building and supporting production ML models and pipelines. Candidates also need recent hands-on GenAI/LLM/RAG experience, model evaluation and debugging skills, and the ability to work independently and provide technical leadership.

Skills

Machine Learning
Data Science
Generative AI
Python
SQL
RAG
LLMs
Model Validation
Model Evaluation
Feature Engineering
ML Pipelines
Production Deployment
Model Monitoring
MLOps
Vector Databases
Technical Leadership

Visa sponsorship

Not detected in the job text

Keywords

Classical Machine Learning
Supervised Learning
Unsupervised Learning
Classification
Regression
Time-Series Forecasting
Clustering
Anomaly Detection
Generative AI
Large Language Models
Retrieval-Augmented Generation
Python
SQL
Feature Engineering
Data Preparation
Model Validation
Hyperparameter Tuning
Model Evaluation
Data Leakage Prevention
Training Pipelines
Inference Pipelines
Production Deployment
Model Monitoring
Model Versioning
Reproducibility
Git
MLOps
Docker
Kubernetes
Cloud Platforms

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